支持人工智能的压电可穿戴设备用于联合扭矩监测
Jinke Chang1,2, Jinchen Li2, Jiahao Ye1
1Multifunctional Materials and Composites (MMC) Laboratory, Department of Engineering Science, University of Oxford, Oxford, OX1 3PJ, UK.
Nano-micro letters
|May 2, 2025
概括
这项研究介绍了一种人工智能驱动的可穿戴设备,使用压电化纳米管进行精确的关节扭矩监测. 这项创新使得在各种环境中能够准确地进行联合健康评估和康复跟踪.
科学领域:
- 生物医学工程 生物医学工程
- 材料科学 材料科学 材料科学
- 人工智能的人工智能
背景情况:
- 肌肉骨 (MSK) 疾病影响全球三分之一的人口,需要有效的联合健康监测.
- 目前的技术缺乏用于广泛的联合扭矩测量的精度,可穿戴性和可访问性.
- 准确的关节扭矩监测对于伤害风险评估和康复至关重要.
研究的目的:
- 开发一种新的,支持人工智能的可穿戴设备,用于精确和可访问的关节扭矩监测.
- 创建一个低成本的,长期的解决方案来评估关节健康和指导康复.
- 在不同的环境和发展环境中解决现有技术的局限性.
主要方法:
- 使用代反向设计,制造具有生物力学匹配的Poisson比率的可穿戴材料.
- 使用化纳米管 (BNNTs) 和聚二甲基为运动捕捉和能量收集而构建敏感的压电膜.
- 在设备上实施人工神经网络,用于信号处理和映射到物理特征 (扭矩,角度,负载).
主要成果:
- 基于BNNT的可穿戴设备准确地捕捉膝盖运动,并实时估计关节扭矩,角度和负载.
- 集成的AI有效地提取和解释复杂的压电信号.
- 该设备展示了自给自足的能量收集能力.
结论:
- 这款支持人工智能的压电BNNT可穿戴设备提供了一个低成本,有效的解决方案,用于定期监测联合扭矩.
- 该技术有可能对关节健康,关节疾病和康复产生广泛的全球影响.
- 该设备的可访问性使其适用于不同人群和不同发育水平.
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